Application of PSO in the Design of Permanent Magnet Synchronous Generator for 1.5MW wind turbine

Abstract

In order to save the environment and produce green electricity, wind energy has become one of the most appropriated renewable energies (REs). Actually, the large-scale wind turbines are more expensive compared to others REs systems. Therefore, the main objective of this research is to produce an economical technology for the wind power market offering low-cost of a direct drive wind turbine. In this paper, an optimization procedure is developed in order to reduce the cost of PMSG integrated in a 1.5 MW wind turbine. So, evolutionary optimisation methods have become a very popular technique for solving optimization problems in REs systems notably wind power conversion systems. Among the many proposed methods, Particle Swarm Optimization (PSO) is very similar and popular so it is used under the Software MATLAB to find the minimum cost value.